Guanghui Lei¹, Caihong Yang^2,#, Yan Ge^3,#, Yan Zhang^2,*, Yufei Xie^4,*, Jianwen Chen², Jinyang Wu⁵

International Journal of Mental Health Promotion, Vol.23, No.1, pp. 121-140, 2021, DOI:10.32604/IJMHP.2021.013072

Abstract To explore the relationship between social support and sleep quality of community workers in Wuhan during the coronavirus disease 2019 (the COVID-19 infection epidemic), this research constructed a mediating effect model to explore the mediating psychological mechanism of social support influencing sleep quality of front-line community workers. A total of 500 front-line community workers in Wuhan were investigated. We used the perceived social support scale (PSSS), the Connor-Davidson Resilience Scale (CD-RISC), the perceived stress scale (PSS), and the Pittsburgh sleep quality index (PSQI) to measure social support, psychological resilience, perceived stress and sleep quality. Specifically, the higher the PSQI, the… More >

Zhifang Liao¹, Xin Xu¹, Peng Lan¹, Liu Yang¹, Yan Zhang², Xiaoping Fan^3,*

CMC-Computers, Materials & Continua, Vol.66, No.2, pp. 1379-1396, 2021, DOI:10.32604/cmc.2020.011995

Abstract In the context of the continuous development of the Internet, crowdsourcing has received continuous attention as a new cooperation model based on the relationship between enterprises, the public and society. Among them, a reasonably designed recommendation algorithm can recommend a batch of suitable workers for crowdsourcing tasks to improve the final task completion quality. Therefore, this paper proposes a crowdsourcing recommendation framework based on workers’ influence (CRBI). This crowdsourcing framework completes the entire process design from task distribution, worker recommendation, and result return through processes such as worker behavior analysis, task characteristics construction, and cost optimization. In this paper, a… More >

Hossein ElahiShirvan¹, MohammadReza Ghotbi-Ravandi², Sajad Zare^3,*, Mostafa Ghazizadeh Ahsaee⁴

Sound & Vibration, Vol.54, No.2, pp. 99-112, 2020, DOI:10.32604/sv.2020.08839

Abstract Workers’ exposure to excessive noise is a big universal work-related challenges. One of the major consequences of exposure to noise is permanent or transient hearing loss. The current study sought to utilize audiometric data to weigh and prioritize the factors affecting workers’ hearing loss based using the Support Vector Machine (SVM) algorithm. This cross sectional-descriptive study was conducted in 2017 in a mining industry in southeast Iran. The participating workers (n = 150) were divided into three groups of 50 based on the sound pressure level to which they were exposed (two experimental groups and one control group). Audiometric tests… More >

Yun-Jung Choi^#, Eunjung Ko^#,*

International Journal of Mental Health Promotion, Vol.22, No.1, pp. 19-27, 2020, DOI:10.32604/IJMHP.2020.010883

Abstract This study aimed to investigate the mediating effect of disaster relief workers’ job satisfaction in the relationship between their perception of survivors’ rights and their performance of human rights advocacy. Two hundred disaster relief workers in Korea were invited to complete structured questionnaires pertaining to their perception of survivors’ rights, job satisfaction, and their performance of human rights advocacy, and the relationships between these variables were analyzed using correlation and multiple regression analysis. There were significant positive correlations between disaster relief workers’ perception of survivors’ rights, job satisfaction, and performance of human rights advocacy in this study. The higher their… More >